Sunny Kahlon, Mary Sleet, Joseph Sujka, Salvatore Docimo, Christopher DuCoin, Francesca Dimou, Rahul Mhaskar
{"title":"评估 ChatGPT 和医生对减肥手术建议的一致性。","authors":"Sunny Kahlon, Mary Sleet, Joseph Sujka, Salvatore Docimo, Christopher DuCoin, Francesca Dimou, Rahul Mhaskar","doi":"10.1139/cjpp-2024-0026","DOIUrl":null,"url":null,"abstract":"<p><p>Integrating artificial intelligence (AI) into healthcare prompts the need to measure its proficiency relative to human experts. This study evaluates the proficiency of ChatGPT, an OpenAI language model, in offering guidance concerning bariatric surgery compared to bariatric surgeons. Five clinical scenarios representative of diverse bariatric surgery situations were given to American Society for Metabolic and Bariatric Surgery (ASMBS)-accredited bariatric surgeons and ChatGPT. Both groups proposed medical or surgical management for the patients depicted in each scenario. The outcomes from both the surgeons and ChatGPT were examined and matched with the clinical benchmarks set by the ASMBS. There was a high degree of agreement between ChatGPT and physicians on the three simpler clinical scenarios. There was a positive correlation between physicians' and ChatGPT answers for not recommending surgery. ChatGPT's advice aligned with ASMBS guidelines 60% of the time, in contrast to bariatric surgeons, who consistently aligned with the guidelines 100% of the time. ChatGPT showcases potential in offering guidance on bariatric surgery, but it does not have the comprehensive and personalized perspective that doctors exhibit consistently. Enhancing AI's training on intricate patient situations will bolster its role in the medical field.</p>","PeriodicalId":9520,"journal":{"name":"Canadian journal of physiology and pharmacology","volume":" ","pages":"70-74"},"PeriodicalIF":1.7000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating the concordance of ChatGPT and physician recommendations for bariatric surgery.\",\"authors\":\"Sunny Kahlon, Mary Sleet, Joseph Sujka, Salvatore Docimo, Christopher DuCoin, Francesca Dimou, Rahul Mhaskar\",\"doi\":\"10.1139/cjpp-2024-0026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Integrating artificial intelligence (AI) into healthcare prompts the need to measure its proficiency relative to human experts. This study evaluates the proficiency of ChatGPT, an OpenAI language model, in offering guidance concerning bariatric surgery compared to bariatric surgeons. Five clinical scenarios representative of diverse bariatric surgery situations were given to American Society for Metabolic and Bariatric Surgery (ASMBS)-accredited bariatric surgeons and ChatGPT. Both groups proposed medical or surgical management for the patients depicted in each scenario. The outcomes from both the surgeons and ChatGPT were examined and matched with the clinical benchmarks set by the ASMBS. There was a high degree of agreement between ChatGPT and physicians on the three simpler clinical scenarios. There was a positive correlation between physicians' and ChatGPT answers for not recommending surgery. ChatGPT's advice aligned with ASMBS guidelines 60% of the time, in contrast to bariatric surgeons, who consistently aligned with the guidelines 100% of the time. ChatGPT showcases potential in offering guidance on bariatric surgery, but it does not have the comprehensive and personalized perspective that doctors exhibit consistently. Enhancing AI's training on intricate patient situations will bolster its role in the medical field.</p>\",\"PeriodicalId\":9520,\"journal\":{\"name\":\"Canadian journal of physiology and pharmacology\",\"volume\":\" \",\"pages\":\"70-74\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2025-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Canadian journal of physiology and pharmacology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1139/cjpp-2024-0026\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/11/19 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Canadian journal of physiology and pharmacology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1139/cjpp-2024-0026","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/11/19 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
Evaluating the concordance of ChatGPT and physician recommendations for bariatric surgery.
Integrating artificial intelligence (AI) into healthcare prompts the need to measure its proficiency relative to human experts. This study evaluates the proficiency of ChatGPT, an OpenAI language model, in offering guidance concerning bariatric surgery compared to bariatric surgeons. Five clinical scenarios representative of diverse bariatric surgery situations were given to American Society for Metabolic and Bariatric Surgery (ASMBS)-accredited bariatric surgeons and ChatGPT. Both groups proposed medical or surgical management for the patients depicted in each scenario. The outcomes from both the surgeons and ChatGPT were examined and matched with the clinical benchmarks set by the ASMBS. There was a high degree of agreement between ChatGPT and physicians on the three simpler clinical scenarios. There was a positive correlation between physicians' and ChatGPT answers for not recommending surgery. ChatGPT's advice aligned with ASMBS guidelines 60% of the time, in contrast to bariatric surgeons, who consistently aligned with the guidelines 100% of the time. ChatGPT showcases potential in offering guidance on bariatric surgery, but it does not have the comprehensive and personalized perspective that doctors exhibit consistently. Enhancing AI's training on intricate patient situations will bolster its role in the medical field.
期刊介绍:
Published since 1929, the Canadian Journal of Physiology and Pharmacology is a monthly journal that reports current research in all aspects of physiology, nutrition, pharmacology, and toxicology, contributed by recognized experts and scientists. It publishes symposium reviews and award lectures and occasionally dedicates entire issues or portions of issues to subjects of special interest to its international readership. The journal periodically publishes a “Made In Canada” special section that features invited review articles from internationally recognized scientists who have received some of their training in Canada.